Graduation Semester and Year
2008
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
David Levine
Abstract
Computing for science has very peculiar requirements. There is an enormous amount of data to analyze to get useful information. This requires greater computing power, huge data storage and high-capacity network. High Performance Computing (HPC) is the perfect solution that satisfies these requirements. Here, we look at two high performance implementations that provide useful solutions to computing problems in science, making possible scientific experiments and discoveries that otherwise would not have been possible.
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Keswani, Umeshkumar Ashok, "High Performance Cluster And Grid Computing Solutions For Science" (2008). Computer Science and Engineering Theses. 192.
https://mavmatrix.uta.edu/cse_theses/192
Comments
Degree granted by The University of Texas at Arlington